AAPG Certificate In Geoanalytics

The AAPG Certificate in GeoAnalytics enables energy professionals to utilize analytics and technologies to explore for new resources, optimize existing energy resources, capture and manage resource-related data, work with teams across disciplines (engineering, geoscientists, data scientists, financial analysts). Workflows and trainings are focused on geoscience workflows.

Goal of the Program

The program is intended to equip geoscientists, engineers, and other decision-makers with geoanalytics knowledge and skills necessary to be a valued part of the energy resources workplace of the future. We will provide data sets that learners can retain in order to have real-life examples.

Learning Objectives

Upon successful completion of this program, the learner will be able to

  • Successfully complete courses that align with a student’s goals as articulated in a Personalized Study Plan
  • Develop a workflow that relates to reservoirs, geoscience, that are based on analytic techniques
  • Apply geoanalytics techniques to real-life industry examples
  • Analyze geological data sets to manage them in the cloud, clean them appropriately, and determine which analytical approach to use
  • Utilize machine learning and/or deep learning to solve specific problems
  • Demonstrate an understanding of different platforms or computing environments used in geoanalytics
Curriculum

Individuals will take five courses distributed from different categories that align with the student’s personalized study plan.

Course Offerings

Students may take courses that align with their personal interests and competency levels.

The format: The synchronous courses consist of three or four day courses (via Zoom)

The Value Proposition
  • “Live” courses via Zoom
  • Popular instructors and courses, now available online (convenient!)
  • Personalized instruction; ability to ask questions and discuss issues (one-on-one instruction)
  • Discounted member prices, even lower Displaced Worker pricing (affordable!)
  • Practical, applicable to today’s conditions
  • Part of a larger certification / credentialing program
  • You can relate the courses to your own interests or properties
Key takeaway:

Each course will equip the learner to be able to implement knowledge and use tools to develop practical solutions for companies of differing sizes and complexity. We will work with real-life data sets, and also learn where / how to find data sets.

Categories of Courses: Competencies
  • Category 1 – Introduction to Analytics / Machine Learning
  • Category 2 – Data Management for Energy Applications: Data types, management, cleaning, project preparation: Emphasis on hands-on application and projects
  • Category 3 – Data Tools for Energy Machine Learning: These courses can involve Python, Excel & Visual Basic, C++, Matlab, Jupyter notebook, common applications and algorithms: Emphasis on hands-on application and projects
  • Category 4 – Data applications: These courses include mapping, petrophysics, predictive operations, geophysics, well planning: Emphasis on hands-on application and projects
  • Category 5 – New Tools and Technologies: These courses involve working with new technologies and data to solve problems and improve efficiencies. They include digital transformation, the Internet of Things (IoT), surface surveys (drones), sensors (production, etc.), petrophysics, passive seismic, geochemical, etc.: Emphasis on hands-on application and projects
Instructional Materials and Method of Delivery
  • Synchronous delivery by means of Zoom, with interactive instruction
  • Data sets
  • PowerPoint presentations
  • Access to tools and platforms
  • Articles and chapters
  • Video (archived)
Method of Delivery:
  • Virtual using Web-Conferencing tools (Zoom)
Activities / Assessments:
  • Short in-class activities and “apply your knowledge” challenges
  • Completed code, project or problem set
Instructor Qualifications

All instructors possess the appropriate level of background, experience, and hands-on application in order to develop, deliver, and assess the courses.

Instructors

Alec Walker, Inly
Wanjun Zhang, Inly
Sunil Garg, DataVedik
Seth Anderson, Nesh
Anne Grau, WPX Energy
Gil Machado, Chronosurveys Lda

GeoAnalytics Committee

Susan Nash, AAPG
Whitney Campbell, Tulsa Geological Society
Rick Fritz, Council Oaks / AAPG President-Elect
Alec Walker, Inly
Sunil Garg, DataVedik
Sashi Gunturu, PetraBytes
Joe Wicker, Laredo Petroleum
Dawn James, Microsoft
Kathy Ball, Aramco Services
Patrick Rutty, Enverus (Drilling Info)
Ali Takbiri, Amazon Web Services
Liz Percat Dennet, Amazon Web Services

 

Foundations for Petroleum Geoscientists

The Foundations for Petroleum Geoscientists Certificate enables a geoscientist to demonstrate cross-disciplinary knowledge in areas that are considered foundational for geoscientists working in cross-disciplinary asset teams, or in independent exploration and production.

Goal of the Program

The program is intended to equip geoscientists, engineers, and other decision-makers with foundational knowledge and skills necessary to be a valued part of the energy resources workplace of the future.

Curriculum

Individuals will take one course from each of the five categories.

Course Offerings

The format: Four-day courses synchronous (via Zoom) courses – each with certificate of completion.

Key takeaway: Each course will equip the learner to be able to implement knowledge and use tools to develop practical solutions for companies of differing sizes and complexity.

Categories of Courses: Competencies
  • Category 1 – Stratigraphy, Sedimentology, Petroleum Reservoirs
  • Category 2 – Structure, Geomechanics, and Integrated Geophysics
  • Category 3 – Geochemistry, Basin Modeling and Play and Risk Analysis
  • Category 4 – Integrated Engineering (subsurface and surface)
  • Category 5 – Risked Play Segment, Development Planning, and Economic Analysis
  • Category 6 – Integrated Opportunity Analysis, Portfolio Ranking, and Deal Structuring
Instructional Materials and Method of Delivery
  • Synchronous delivery by means of Zoom, with interactive instruction
  • Data sets
  • PowerPoint presentations
  • Access to tools and platforms
  • Articles and chapters
  • Video (archived)
Method of Delivery:
  • Virtual using Web-Conferencing tools (Zoom)
Activities / Assessments:
  • Short in-class activities and “apply your knowledge” challenges
  • Completed code, project or problem set
Instructor Qualifications

All instructors possess the appropriate level of background, experience, and hands-on application in order to develop, deliver, and assess the courses.

Instructors

Art Donovan
Vitor Abreu
Mamdouh Shebl
John Holbrook
Alec Walker, Inly
Wanjun Zhang, Inly
Sunil Garg, DataVedik

Foundations Committee

AAPG Education Committee

Online Training

In Person Training